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Postdoctoral Associate-Robust, Responsible, and Integrated Urban Mobility Systems
  • Job Number: 22722
  • Functional Area: Research - Social Science
  • Department: Urban Studies & Planning
  • School Area: Architecture & Planning
  • Employment Type: Full-Time
  • Employment Category: Exempt
  • Visa Sponsorship Available: Yes
  • Schedule:


Posting Description

POSTDOCTORAL ASSOCIATE-ROBUST, RESPONSIBLE, AND INTEGRATED URBAN MOBILITY SYSTEMS, Urban Studies & Planning (DUSP), to join the JTL Urban Mobility and Transit Lab, an interdisciplinary research group at MIT.  The JTL Urban Mobility Lab integrates behavioral and computational thinking in urban mobility to shape travel behavior, design mobility systems and ventures, and reform transportation policies. A particular focus of the group is to design robust, responsive, and integrated multimodal urban mobility systems based on advanced data analytics and artificial intelligence, behavioral science, and transportation technology, and building on the MIT Transit Lab’s decades of collaboration with leading global transportation agencies and operators. Professor Jinhua Zhao leads the research lab as well as the MIT Mobility Initiative, coalescing transportation research, education, entrepreneurship, and civic engagement across the Institute.  Responsibilities include exercising independent judgment in designing and implementing research projects; collaborating on and co-authoring journal articles with research staff and graduate students; collaborating on and co-authoring proposals for funding internal and external to MIT; co-supervising graduate and undergraduate students at MIT; managing research projects with sponsors (e.g., federal departments such as NSF, US DOE, US DOT, global transportation companies, industry consortia, municipal governments, and agencies); managing the lab’s data and computation infrastructure; and performing other duties as needed.  

Job Requirements

REQUIRED:  Ph.D. in civil engineering, urban planning, computer science, operation research, industrial engineering, or a related field by the start of the appointment; experience with transportation systems, spatial and network analysis, optimization, machine learning, statistics, econometrics, large-scale datasets, and cloud computing; record of research that can shape the future of urban transportation and mobility; and strong publication record and communication skills.  Job #22722

The review of applications will begin immediately and continue on a rolling basis until the position is filled (around September 2023).

A commitment of at least two years for this appointment is expected.

Information on salary and benefits is available here.

5/9/23